Modeling Report Triage¶

This notebook summarizes the following aspects of the modeling experiment:

  • The predictors we created
  • The temporal crossvalidation setup we used to validate our models
  • The models we ran
  • The results we got interms of the efficiency, effectiveness, and equity metrics
  • A deeper dive into what the ML models are learning from the data to make the predictions
In [1]:
import pandas as pd
import sqlalchemy
import os

from sqlalchemy.engine.url import URL
from triage.util.db import create_engine


from triage.component.postmodeling.modeling_report_functions import *

import matplotlib.pyplot as plt

pd.set_option('precision', 4)
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)

plt.rcParams.update({"figure.dpi": 120})
%matplotlib inline

Database Connection¶

In [2]:
db_url = URL(
            'postgres',
            host=os.getenv('PGHOST'),
            username=os.getenv('PGUSER'),
            database=os.getenv('PGDATABASE'),
            password=os.getenv('PGPASSWORD'),
            port=5432,
        )

db_engine = create_engine(db_url)

1. Parameters for the Report¶

The following values are the default parameters for the report. If you are using this interactively, you can change the parameter values.

In [3]:
# The most recent completed experiment hash
# Note that this has to be a list
experiment_hashes = [get_most_recent_experiment_hash(db_engine)]

# Model Performance metric and threshold defaulting to reacll@1_pct
performance_metric = 'recall@'
threshold = '1_pct'

# Bias metric defaults to tpr_disparity and bias metric values for all groups generated (if bias audit specified in the experiment config)
bias_metric = 'tpr_disparity'
bias_priority_groups=None

2024-09-05 16:30:12 -    INFO Using the experiment hash: ab1090de65c88cc990fcb1210fa40227

1.1 Updating the parameters based on the config¶

In [4]:
params = load_report_parameters_from_config(db_engine, experiment_hashes[0])

if params['performance_metric'] is not None:
    performance_metric = params['performance_metric']

if params['threshold'] is not None:
    threshold = params['threshold']

if params['bias_metric'] is not None:
    bias_metric = params['bias_metric']

if params['priority_groups'] is not None:
    bias_priority_groups = params['priority_groups']
In [5]:
performance_metric, threshold, bias_metric, bias_priority_groups
Out[5]:
('recall@', '1_pct', 'tpr_disparity', None)

2. Visualizing the Temporal Validation Splits¶

In [6]:
visualize_validation_splits(db_engine, experiment_hashes[0])

There are 12 train-validation splits

3. Modeling Cohorts¶

In [7]:
cohort_summary = summarize_cohorts(db_engine, experiment_hashes[0], generate_plots=True)

labels_quickstart_label_68eae5e62c549b9e90e4526d0f53420e
No description has been provided for this image
In [8]:
cohort_summary
Out[8]:
label_name label_timespan as_of_date cohort_size baserate
0 quickstart_label 120 days 2011-09-02 262 0.2595
1 quickstart_label 120 days 2011-09-03 329 0.3465
2 quickstart_label 120 days 2011-09-04 278 0.3525
3 quickstart_label 120 days 2011-09-05 524 0.3569
4 quickstart_label 120 days 2011-09-06 165 0.3939
5 quickstart_label 120 days 2011-09-07 465 0.3312
6 quickstart_label 120 days 2011-09-08 217 0.3733
7 quickstart_label 120 days 2011-09-09 221 0.3394
8 quickstart_label 120 days 2011-09-10 269 0.3903
9 quickstart_label 120 days 2011-09-11 93 0.3441
10 quickstart_label 120 days 2011-09-12 600 0.3383
11 quickstart_label 120 days 2011-09-13 544 0.3364
12 quickstart_label 120 days 2011-09-14 157 0.2803
13 quickstart_label 120 days 2011-09-15 229 0.3624
14 quickstart_label 120 days 2011-09-16 164 0.3598
15 quickstart_label 120 days 2011-09-17 115 0.4261
16 quickstart_label 120 days 2011-09-18 420 0.3714
17 quickstart_label 120 days 2011-09-19 580 0.3241
18 quickstart_label 120 days 2011-09-20 135 0.3185
19 quickstart_label 120 days 2011-09-21 326 0.3620
20 quickstart_label 120 days 2011-09-22 199 0.2915
21 quickstart_label 120 days 2011-09-23 522 0.3544
22 quickstart_label 120 days 2011-09-24 326 0.3834
23 quickstart_label 120 days 2011-09-25 515 0.3689
24 quickstart_label 120 days 2011-09-26 970 0.3289
25 quickstart_label 120 days 2011-09-27 377 0.3634
26 quickstart_label 120 days 2011-09-28 516 0.3411
27 quickstart_label 120 days 2011-09-29 235 0.2851
28 quickstart_label 120 days 2011-09-30 448 0.3170
29 quickstart_label 120 days 2011-10-01 221 0.3167
30 quickstart_label 120 days 2011-10-02 841 0.2830
31 quickstart_label 120 days 2011-10-03 506 0.2708
32 quickstart_label 120 days 2011-10-04 362 0.3011
33 quickstart_label 120 days 2011-10-05 165 0.3879
34 quickstart_label 120 days 2011-10-06 256 0.3086
35 quickstart_label 120 days 2011-10-07 295 0.3797
36 quickstart_label 120 days 2011-10-08 507 0.3333
37 quickstart_label 120 days 2011-10-09 439 0.3235
38 quickstart_label 120 days 2011-10-10 627 0.3046
39 quickstart_label 120 days 2011-10-11 248 0.3185
40 quickstart_label 120 days 2011-10-12 240 0.3042
41 quickstart_label 120 days 2011-10-13 306 0.3595
42 quickstart_label 120 days 2011-10-14 203 0.3251
43 quickstart_label 120 days 2011-10-15 203 0.3251
44 quickstart_label 120 days 2011-10-16 296 0.3277
45 quickstart_label 120 days 2011-10-17 460 0.2978
46 quickstart_label 120 days 2011-10-18 47 0.2340
47 quickstart_label 120 days 2011-10-19 302 0.2848
48 quickstart_label 120 days 2011-10-20 199 0.3065
49 quickstart_label 120 days 2011-10-21 297 0.3131
50 quickstart_label 120 days 2011-10-22 182 0.3022
51 quickstart_label 120 days 2011-10-23 467 0.2570
52 quickstart_label 120 days 2011-10-24 242 0.3058
53 quickstart_label 120 days 2011-10-25 324 0.3179
54 quickstart_label 120 days 2011-10-26 131 0.2366
55 quickstart_label 120 days 2011-10-27 232 0.2586
56 quickstart_label 120 days 2011-10-28 222 0.3108
57 quickstart_label 120 days 2011-10-29 249 0.3373
58 quickstart_label 120 days 2011-10-30 419 0.2792
59 quickstart_label 120 days 2011-10-31 317 0.2902
60 quickstart_label 120 days 2011-11-01 99 0.2727
61 quickstart_label 120 days 2011-11-02 245 0.3020
62 quickstart_label 120 days 2011-11-03 221 0.2805
63 quickstart_label 120 days 2011-11-04 126 0.2937
64 quickstart_label 120 days 2011-11-05 172 0.2558
65 quickstart_label 120 days 2011-11-06 306 0.2680
66 quickstart_label 120 days 2011-11-07 179 0.3296
67 quickstart_label 120 days 2011-11-08 103 0.3010
68 quickstart_label 120 days 2011-11-09 202 0.3119
69 quickstart_label 120 days 2011-11-10 141 0.2553
70 quickstart_label 120 days 2011-11-11 344 0.3198
71 quickstart_label 120 days 2011-11-12 392 0.3393
72 quickstart_label 120 days 2011-11-13 302 0.2781
73 quickstart_label 120 days 2011-11-14 374 0.2620
74 quickstart_label 120 days 2011-11-15 218 0.2248
75 quickstart_label 120 days 2011-11-16 26 0.4231
76 quickstart_label 120 days 2011-11-17 265 0.2491
77 quickstart_label 120 days 2011-11-18 148 0.2635
78 quickstart_label 120 days 2011-11-19 628 0.2850
79 quickstart_label 120 days 2011-11-20 85 0.3529
80 quickstart_label 120 days 2011-11-21 797 0.2911
81 quickstart_label 120 days 2011-11-22 525 0.2152
82 quickstart_label 120 days 2011-11-23 68 0.2353
83 quickstart_label 120 days 2011-11-24 156 0.2692
84 quickstart_label 120 days 2011-11-25 235 0.2596
85 quickstart_label 120 days 2011-11-26 287 0.2160
86 quickstart_label 120 days 2011-11-27 156 0.1795
87 quickstart_label 120 days 2011-11-28 177 0.2260
88 quickstart_label 120 days 2011-11-29 520 0.1981
89 quickstart_label 120 days 2011-11-30 224 0.2812
90 quickstart_label 120 days 2011-12-01 180 0.2000
91 quickstart_label 120 days 2011-12-02 510 0.2137
92 quickstart_label 120 days 2011-12-03 291 0.2440
93 quickstart_label 120 days 2011-12-04 342 0.2105
94 quickstart_label 120 days 2011-12-05 407 0.2088
95 quickstart_label 120 days 2011-12-06 723 0.2227
96 quickstart_label 120 days 2011-12-07 708 0.2189
97 quickstart_label 120 days 2011-12-08 456 0.2083
98 quickstart_label 120 days 2011-12-09 1424 0.2100
99 quickstart_label 120 days 2011-12-10 553 0.2712
100 quickstart_label 120 days 2011-12-11 497 0.2052
101 quickstart_label 120 days 2011-12-12 699 0.2003
102 quickstart_label 120 days 2011-12-13 253 0.2016
103 quickstart_label 120 days 2011-12-14 413 0.2252
104 quickstart_label 120 days 2011-12-15 225 0.2800
105 quickstart_label 120 days 2011-12-16 171 0.2807
106 quickstart_label 120 days 2011-12-17 122 0.2787
107 quickstart_label 120 days 2011-12-18 691 0.2402
108 quickstart_label 120 days 2011-12-19 483 0.2298
109 quickstart_label 120 days 2011-12-20 386 0.2487
110 quickstart_label 120 days 2011-12-21 403 0.2531
111 quickstart_label 120 days 2011-12-22 156 0.2500
112 quickstart_label 120 days 2011-12-23 223 0.3049
113 quickstart_label 120 days 2011-12-24 207 0.2705
114 quickstart_label 120 days 2011-12-25 94 0.2340
115 quickstart_label 120 days 2011-12-26 38 0.1579
116 quickstart_label 120 days 2011-12-27 168 0.2321
117 quickstart_label 120 days 2011-12-28 338 0.2337
118 quickstart_label 120 days 2011-12-29 162 0.3148
119 quickstart_label 120 days 2011-12-30 313 0.2748
120 quickstart_label 120 days 2011-12-31 125 0.2160
121 quickstart_label 120 days 2012-01-01 66 0.2879
122 quickstart_label 120 days 2012-01-02 351 0.3533
123 quickstart_label 120 days 2012-01-03 290 0.3069
124 quickstart_label 120 days 2012-01-04 368 0.3315
125 quickstart_label 120 days 2012-01-05 146 0.3562
126 quickstart_label 120 days 2012-01-06 74 0.3108
127 quickstart_label 120 days 2012-01-07 430 0.3279
128 quickstart_label 120 days 2012-01-08 416 0.3846
129 quickstart_label 120 days 2012-01-09 721 0.3218
130 quickstart_label 120 days 2012-01-10 284 0.3345
131 quickstart_label 120 days 2012-01-11 186 0.3710
132 quickstart_label 120 days 2012-01-12 173 0.2254
133 quickstart_label 120 days 2012-01-13 173 0.2659
134 quickstart_label 120 days 2012-01-14 497 0.2938
135 quickstart_label 120 days 2012-01-15 849 0.2309
136 quickstart_label 120 days 2012-01-16 1070 0.2850
137 quickstart_label 120 days 2012-01-17 417 0.2422
138 quickstart_label 120 days 2012-01-18 368 0.2310
139 quickstart_label 120 days 2012-01-19 88 0.3636
140 quickstart_label 120 days 2012-01-20 500 0.2440
141 quickstart_label 120 days 2012-01-21 854 0.2471
142 quickstart_label 120 days 2012-01-22 1048 0.2576
143 quickstart_label 120 days 2012-01-23 720 0.2681
144 quickstart_label 120 days 2012-01-24 312 0.2468
145 quickstart_label 120 days 2012-01-25 281 0.2811
146 quickstart_label 120 days 2012-01-26 202 0.2772
147 quickstart_label 120 days 2012-01-27 330 0.3273
148 quickstart_label 120 days 2012-01-28 425 0.3035
149 quickstart_label 120 days 2012-01-29 847 0.3058
150 quickstart_label 120 days 2012-01-30 1041 0.3151
151 quickstart_label 120 days 2012-01-31 1245 0.3815
152 quickstart_label 120 days 2012-02-01 475 0.5516
153 quickstart_label 120 days 2012-02-02 940 0.6489
154 quickstart_label 120 days 2012-02-03 558 0.6989
155 quickstart_label 120 days 2012-02-04 466 0.6116
156 quickstart_label 120 days 2012-02-05 743 0.6406
157 quickstart_label 120 days 2012-02-06 888 0.6149
158 quickstart_label 120 days 2012-02-07 407 0.4988
159 quickstart_label 120 days 2012-02-08 533 0.4484
160 quickstart_label 120 days 2012-02-09 250 0.3560
161 quickstart_label 120 days 2012-02-10 187 0.4332
162 quickstart_label 120 days 2012-02-11 553 0.4231
163 quickstart_label 120 days 2012-02-12 662 0.4305
164 quickstart_label 120 days 2012-02-13 999 0.3934
165 quickstart_label 120 days 2012-02-14 529 0.3724
166 quickstart_label 120 days 2012-02-15 171 0.4912
167 quickstart_label 120 days 2012-02-16 214 0.4065
168 quickstart_label 120 days 2012-02-17 132 0.4167
169 quickstart_label 120 days 2012-02-18 309 0.3981
170 quickstart_label 120 days 2012-02-19 588 0.4235
171 quickstart_label 120 days 2012-02-20 881 0.3984
172 quickstart_label 120 days 2012-02-21 281 0.4093
173 quickstart_label 120 days 2012-02-22 145 0.4000
174 quickstart_label 120 days 2012-02-23 233 0.4206
175 quickstart_label 120 days 2012-02-24 143 0.3846
176 quickstart_label 120 days 2012-02-25 170 0.3882
177 quickstart_label 120 days 2012-02-26 385 0.3532
178 quickstart_label 120 days 2012-02-27 401 0.3217
179 quickstart_label 120 days 2012-02-28 184 0.2989
180 quickstart_label 120 days 2012-02-29 132 0.4015
181 quickstart_label 120 days 2012-03-01 170 0.3588
182 quickstart_label 120 days 2012-03-02 93 0.3118
183 quickstart_label 120 days 2012-03-03 244 0.3238
184 quickstart_label 120 days 2012-03-04 193 0.3161
185 quickstart_label 120 days 2012-03-05 686 0.3382
186 quickstart_label 120 days 2012-03-06 140 0.2857
187 quickstart_label 120 days 2012-03-07 119 0.3277
188 quickstart_label 120 days 2012-03-08 382 0.3194
189 quickstart_label 120 days 2012-03-09 439 0.3804
190 quickstart_label 120 days 2012-03-10 600 0.3467
191 quickstart_label 120 days 2012-03-11 646 0.3344
192 quickstart_label 120 days 2012-03-12 396 0.2929
193 quickstart_label 120 days 2012-03-13 171 0.3860
194 quickstart_label 120 days 2012-03-14 162 0.3889
195 quickstart_label 120 days 2012-03-15 362 0.3122
196 quickstart_label 120 days 2012-03-16 578 0.3183
197 quickstart_label 120 days 2012-03-17 649 0.3559
198 quickstart_label 120 days 2012-03-18 374 0.3556
199 quickstart_label 120 days 2012-03-19 380 0.3921
200 quickstart_label 120 days 2012-03-20 219 0.3973
201 quickstart_label 120 days 2012-03-21 113 0.3009
202 quickstart_label 120 days 2012-03-22 140 0.4286
203 quickstart_label 120 days 2012-03-23 186 0.3817
204 quickstart_label 120 days 2012-03-24 117 0.4359
205 quickstart_label 120 days 2012-03-25 180 0.3889
206 quickstart_label 120 days 2012-03-26 344 0.4157
207 quickstart_label 120 days 2012-03-27 140 0.3000
208 quickstart_label 120 days 2012-03-28 135 0.3407
209 quickstart_label 120 days 2012-03-29 75 0.2933
210 quickstart_label 120 days 2012-03-30 101 0.3960
211 quickstart_label 120 days 2012-03-31 171 0.3801
212 quickstart_label 120 days 2012-04-01 684 0.3743
213 quickstart_label 120 days 2012-04-02 468 0.3526
214 quickstart_label 120 days 2012-04-03 146 0.3836
215 quickstart_label 120 days 2012-04-04 111 0.3964
216 quickstart_label 120 days 2012-04-05 329 0.4195
217 quickstart_label 120 days 2012-04-06 153 0.3333
218 quickstart_label 120 days 2012-04-07 169 0.4379
219 quickstart_label 120 days 2012-04-08 265 0.3547
220 quickstart_label 120 days 2012-04-09 227 0.3877
221 quickstart_label 120 days 2012-04-10 158 0.3418
222 quickstart_label 120 days 2012-04-11 166 0.4277
223 quickstart_label 120 days 2012-04-12 151 0.3709
224 quickstart_label 120 days 2012-04-13 224 0.3973
225 quickstart_label 120 days 2012-04-14 64 0.4062
226 quickstart_label 120 days 2012-04-15 309 0.4337
227 quickstart_label 120 days 2012-04-16 224 0.4062
228 quickstart_label 120 days 2012-04-17 80 0.3875
229 quickstart_label 120 days 2012-04-18 205 0.3073
230 quickstart_label 120 days 2012-04-19 134 0.2910
231 quickstart_label 120 days 2012-04-20 226 0.3142
232 quickstart_label 120 days 2012-04-21 105 0.2952
233 quickstart_label 120 days 2012-04-22 325 0.3138
234 quickstart_label 120 days 2012-04-23 272 0.3493
235 quickstart_label 120 days 2012-04-24 101 0.2871
236 quickstart_label 120 days 2012-04-25 144 0.2986
237 quickstart_label 120 days 2012-04-26 136 0.2647
238 quickstart_label 120 days 2012-04-27 73 0.2740
239 quickstart_label 120 days 2012-04-28 102 0.2941
240 quickstart_label 120 days 2012-04-29 78 0.4103
241 quickstart_label 120 days 2012-04-30 141 0.3191
242 quickstart_label 120 days 2012-05-01 88 0.1705
243 quickstart_label 120 days 2012-05-02 263 0.3650
244 quickstart_label 120 days 2012-05-03 214 0.2804
245 quickstart_label 120 days 2012-05-04 232 0.3578
246 quickstart_label 120 days 2012-05-05 114 0.3158
247 quickstart_label 120 days 2012-05-06 193 0.3420
248 quickstart_label 120 days 2012-05-07 376 0.3298
249 quickstart_label 120 days 2012-05-08 121 0.3058
250 quickstart_label 120 days 2012-05-09 101 0.3663
251 quickstart_label 120 days 2012-05-10 286 0.3811
252 quickstart_label 120 days 2012-05-11 669 0.3543
253 quickstart_label 120 days 2012-05-12 152 0.3092
254 quickstart_label 120 days 2012-05-13 151 0.3907
255 quickstart_label 120 days 2012-05-14 164 0.3598
256 quickstart_label 120 days 2012-05-15 90 0.3444
257 quickstart_label 120 days 2012-05-16 95 0.4421
258 quickstart_label 120 days 2012-05-17 126 0.3016
259 quickstart_label 120 days 2012-05-18 135 0.3630
260 quickstart_label 120 days 2012-05-19 124 0.3952
261 quickstart_label 120 days 2012-05-20 256 0.3516
262 quickstart_label 120 days 2012-05-21 211 0.3839
263 quickstart_label 120 days 2012-05-22 165 0.3758
264 quickstart_label 120 days 2012-05-23 85 0.4000
265 quickstart_label 120 days 2012-05-24 122 0.4016
266 quickstart_label 120 days 2012-05-25 74 0.3108
267 quickstart_label 120 days 2012-05-26 47 0.2553
268 quickstart_label 120 days 2012-05-27 191 0.3455
269 quickstart_label 120 days 2012-05-28 208 0.4231
270 quickstart_label 120 days 2012-05-29 214 0.3738
271 quickstart_label 120 days 2012-05-30 78 0.3333
272 quickstart_label 120 days 2012-05-31 116 0.4052
273 quickstart_label 120 days 2012-06-01 110 0.3091
274 quickstart_label 120 days 2012-06-02 88 0.3750
275 quickstart_label 120 days 2012-06-03 224 0.3839
276 quickstart_label 120 days 2012-06-04 352 0.4261
277 quickstart_label 120 days 2012-06-05 12 0.0833
278 quickstart_label 120 days 2012-06-06 100 0.4400
279 quickstart_label 120 days 2012-06-07 104 0.4038
280 quickstart_label 120 days 2012-06-08 133 0.3609
281 quickstart_label 120 days 2012-06-09 5 0.2000
282 quickstart_label 120 days 2012-06-10 199 0.4221
283 quickstart_label 120 days 2012-06-11 165 0.4485
284 quickstart_label 120 days 2012-06-12 308 0.3994
285 quickstart_label 120 days 2012-06-13 144 0.3958
286 quickstart_label 120 days 2012-06-14 57 0.4737
287 quickstart_label 120 days 2012-06-15 53 0.4340
288 quickstart_label 120 days 2012-06-16 105 0.3524
289 quickstart_label 120 days 2012-06-17 227 0.3612
290 quickstart_label 120 days 2012-06-18 210 0.4143
291 quickstart_label 120 days 2012-06-19 162 0.3827
292 quickstart_label 120 days 2012-06-20 126 0.4206
293 quickstart_label 120 days 2012-06-21 100 0.4900
294 quickstart_label 120 days 2012-06-22 75 0.3600
295 quickstart_label 120 days 2012-06-23 53 0.3962
296 quickstart_label 120 days 2012-06-24 495 0.3818
297 quickstart_label 120 days 2012-06-25 338 0.3373
298 quickstart_label 120 days 2012-06-26 126 0.3968
299 quickstart_label 120 days 2012-06-27 146 0.3699
300 quickstart_label 120 days 2012-06-28 68 0.3971
301 quickstart_label 120 days 2012-06-29 54 0.4074
302 quickstart_label 120 days 2012-06-30 236 0.3644
303 quickstart_label 120 days 2012-07-01 209 0.3254
304 quickstart_label 120 days 2012-07-02 443 0.3409
305 quickstart_label 120 days 2012-07-03 134 0.3881
306 quickstart_label 120 days 2012-07-04 143 0.3706
307 quickstart_label 120 days 2012-07-05 86 0.3953
308 quickstart_label 120 days 2012-07-06 88 0.3182
309 quickstart_label 120 days 2012-07-07 63 0.3333
310 quickstart_label 120 days 2012-07-08 180 0.3722
311 quickstart_label 120 days 2012-07-09 74 0.3514
312 quickstart_label 120 days 2012-07-10 56 0.2857
313 quickstart_label 120 days 2012-07-11 159 0.3711
314 quickstart_label 120 days 2012-07-12 91 0.3956
315 quickstart_label 120 days 2012-07-13 99 0.2929
316 quickstart_label 120 days 2012-07-14 99 0.2525
317 quickstart_label 120 days 2012-07-15 684 0.3787
318 quickstart_label 120 days 2012-07-16 348 0.4138
319 quickstart_label 120 days 2012-07-17 202 0.4208
320 quickstart_label 120 days 2012-07-18 162 0.3951
321 quickstart_label 120 days 2012-07-19 214 0.3832
322 quickstart_label 120 days 2012-07-20 87 0.3678
323 quickstart_label 120 days 2012-07-21 138 0.3768
324 quickstart_label 120 days 2012-07-22 269 0.3941
325 quickstart_label 120 days 2012-07-23 302 0.4007
326 quickstart_label 120 days 2012-07-24 194 0.4278
327 quickstart_label 120 days 2012-07-25 174 0.2874
328 quickstart_label 120 days 2012-07-26 229 0.3886
329 quickstart_label 120 days 2012-07-27 127 0.4094
330 quickstart_label 120 days 2012-07-28 296 0.4291
331 quickstart_label 120 days 2012-07-29 885 0.4045
332 quickstart_label 120 days 2012-07-30 181 0.3536
333 quickstart_label 120 days 2012-07-31 88 0.4318
334 quickstart_label 120 days 2012-08-01 338 0.4467
335 quickstart_label 120 days 2012-08-02 118 0.3814
336 quickstart_label 120 days 2012-08-03 103 0.3495
337 quickstart_label 120 days 2012-08-04 166 0.4277
338 quickstart_label 120 days 2012-08-05 276 0.3696
339 quickstart_label 120 days 2012-08-06 246 0.3821
340 quickstart_label 120 days 2012-08-07 208 0.3750
341 quickstart_label 120 days 2012-08-08 233 0.3691
342 quickstart_label 120 days 2012-08-09 71 0.3803
343 quickstart_label 120 days 2012-08-10 284 0.3873
344 quickstart_label 120 days 2012-08-11 285 0.3579
345 quickstart_label 120 days 2012-08-12 687 0.3726
346 quickstart_label 120 days 2012-08-13 293 0.3959
347 quickstart_label 120 days 2012-08-14 464 0.3534
348 quickstart_label 120 days 2012-08-15 360 0.4000
349 quickstart_label 120 days 2012-08-16 372 0.3522
350 quickstart_label 120 days 2012-08-17 141 0.4043
351 quickstart_label 120 days 2012-08-18 243 0.3580
352 quickstart_label 120 days 2012-08-19 483 0.3540
353 quickstart_label 120 days 2012-08-20 168 0.3631
354 quickstart_label 120 days 2012-08-21 504 0.3234
355 quickstart_label 120 days 2012-08-22 359 0.3036
356 quickstart_label 120 days 2012-08-23 384 0.3333
357 quickstart_label 120 days 2012-08-24 219 0.3379
358 quickstart_label 120 days 2012-08-25 348 0.3879
359 quickstart_label 120 days 2012-08-26 495 0.3374
360 quickstart_label 120 days 2012-08-27 138 0.3406
361 quickstart_label 120 days 2012-08-28 350 0.3657
362 quickstart_label 120 days 2012-08-29 453 0.3642
363 quickstart_label 120 days 2012-08-30 590 0.3169
364 quickstart_label 120 days 2012-08-31 450 0.3422
365 quickstart_label 120 days 2012-09-01 239 0.3096
366 quickstart_label 120 days 2012-09-02 480 0.3000
367 quickstart_label 120 days 2012-09-03 1109 0.2759
368 quickstart_label 120 days 2012-09-04 617 0.1313
369 quickstart_label 120 days 2012-09-05 630 0.2127
370 quickstart_label 120 days 2012-09-06 760 0.2276
371 quickstart_label 120 days 2012-09-07 384 0.2552
372 quickstart_label 120 days 2012-09-08 327 0.2783
373 quickstart_label 120 days 2012-09-09 932 0.2811
374 quickstart_label 120 days 2012-09-10 475 0.2779
375 quickstart_label 120 days 2012-09-11 478 0.2657
376 quickstart_label 120 days 2012-09-12 511 0.2524
377 quickstart_label 120 days 2012-09-13 324 0.2222
378 quickstart_label 120 days 2012-09-14 80 0.3250
379 quickstart_label 120 days 2012-09-15 292 0.2603
380 quickstart_label 120 days 2012-09-16 336 0.3065
381 quickstart_label 120 days 2012-09-17 713 0.2875
382 quickstart_label 120 days 2012-09-18 529 0.2836
383 quickstart_label 120 days 2012-09-19 571 0.2890
384 quickstart_label 120 days 2012-09-20 113 0.2920
385 quickstart_label 120 days 2012-09-21 425 0.2800
386 quickstart_label 120 days 2012-09-22 238 0.3193
387 quickstart_label 120 days 2012-09-23 385 0.3013
388 quickstart_label 120 days 2012-09-24 673 0.2927
389 quickstart_label 120 days 2012-09-25 260 0.2846
390 quickstart_label 120 days 2012-09-26 418 0.2895
391 quickstart_label 120 days 2012-09-27 564 0.2961
392 quickstart_label 120 days 2012-09-28 210 0.2952
393 quickstart_label 120 days 2012-09-29 198 0.3737
394 quickstart_label 120 days 2012-09-30 669 0.2975
395 quickstart_label 120 days 2012-10-01 1490 0.2893
396 quickstart_label 120 days 2012-10-02 374 0.2727
397 quickstart_label 120 days 2012-10-03 493 0.2617
398 quickstart_label 120 days 2012-10-04 236 0.2839
399 quickstart_label 120 days 2012-10-05 167 0.1856
400 quickstart_label 120 days 2012-10-06 510 0.2843
401 quickstart_label 120 days 2012-10-07 846 0.2920
402 quickstart_label 120 days 2012-10-08 1133 0.2736
403 quickstart_label 120 days 2012-10-09 484 0.2665
404 quickstart_label 120 days 2012-10-10 603 0.2919
405 quickstart_label 120 days 2012-10-11 419 0.2840
406 quickstart_label 120 days 2012-10-12 116 0.2155
407 quickstart_label 120 days 2012-10-13 552 0.2536
408 quickstart_label 120 days 2012-10-14 472 0.3390
409 quickstart_label 120 days 2012-10-15 805 0.3242
410 quickstart_label 120 days 2012-10-16 912 0.2884
411 quickstart_label 120 days 2012-10-17 752 0.2660
412 quickstart_label 120 days 2012-10-18 374 0.2914
413 quickstart_label 120 days 2012-10-19 219 0.3699
414 quickstart_label 120 days 2012-10-20 447 0.2864
415 quickstart_label 120 days 2012-10-21 479 0.2735
416 quickstart_label 120 days 2012-10-22 995 0.3065
417 quickstart_label 120 days 2012-10-23 406 0.2833
418 quickstart_label 120 days 2012-10-24 577 0.3050
419 quickstart_label 120 days 2012-10-25 427 0.3279
420 quickstart_label 120 days 2012-10-26 174 0.2989
421 quickstart_label 120 days 2012-10-27 302 0.3245
422 quickstart_label 120 days 2012-10-28 367 0.2834
423 quickstart_label 120 days 2012-10-29 371 0.3396
424 quickstart_label 120 days 2012-10-30 392 0.3520
425 quickstart_label 120 days 2012-10-31 144 0.2917
426 quickstart_label 120 days 2012-11-01 249 0.2892
427 quickstart_label 120 days 2012-11-02 262 0.3321
428 quickstart_label 120 days 2012-11-03 582 0.3505
429 quickstart_label 120 days 2012-11-04 381 0.3911
430 quickstart_label 120 days 2012-11-05 936 0.3397
431 quickstart_label 120 days 2012-11-06 411 0.3382
432 quickstart_label 120 days 2012-11-07 405 0.3827
433 quickstart_label 120 days 2012-11-08 217 0.2535
434 quickstart_label 120 days 2012-11-09 44 0.1591
435 quickstart_label 120 days 2012-11-10 434 0.3548
436 quickstart_label 120 days 2012-11-11 152 0.3618
437 quickstart_label 120 days 2012-11-12 569 0.4025
438 quickstart_label 120 days 2012-11-13 361 0.3795
439 quickstart_label 120 days 2012-11-14 174 0.3448
440 quickstart_label 120 days 2012-11-15 164 0.3354
441 quickstart_label 120 days 2012-11-16 172 0.3140
442 quickstart_label 120 days 2012-11-17 196 0.3622
443 quickstart_label 120 days 2012-11-18 283 0.3004
444 quickstart_label 120 days 2012-11-19 564 0.3759
445 quickstart_label 120 days 2012-11-20 484 0.2975
446 quickstart_label 120 days 2012-11-21 465 0.3269
447 quickstart_label 120 days 2012-11-22 563 0.3321
448 quickstart_label 120 days 2012-11-23 220 0.3045
449 quickstart_label 120 days 2012-11-24 182 0.2802
450 quickstart_label 120 days 2012-11-25 16 0.3750
451 quickstart_label 120 days 2012-11-26 325 0.3015
452 quickstart_label 120 days 2012-11-27 169 0.2840
453 quickstart_label 120 days 2012-11-28 126 0.3651
454 quickstart_label 120 days 2012-11-29 299 0.3311
455 quickstart_label 120 days 2012-11-30 250 0.2960
456 quickstart_label 120 days 2012-12-01 494 0.3725
457 quickstart_label 120 days 2012-12-02 479 0.3674
458 quickstart_label 120 days 2012-12-03 737 0.2836
459 quickstart_label 120 days 2012-12-04 90 0.2444
460 quickstart_label 120 days 2012-12-05 204 0.3284
461 quickstart_label 120 days 2012-12-06 141 0.4255
462 quickstart_label 120 days 2012-12-07 259 0.3514
463 quickstart_label 120 days 2012-12-08 116 0.3534
464 quickstart_label 120 days 2012-12-09 426 0.3991
465 quickstart_label 120 days 2012-12-10 530 0.3075
466 quickstart_label 120 days 2012-12-11 137 0.3942
467 quickstart_label 120 days 2012-12-12 368 0.3397
468 quickstart_label 120 days 2012-12-13 723 0.3499
469 quickstart_label 120 days 2012-12-14 838 0.3270
470 quickstart_label 120 days 2012-12-15 456 0.3487
471 quickstart_label 120 days 2012-12-16 504 0.3115
472 quickstart_label 120 days 2012-12-17 270 0.3222
473 quickstart_label 120 days 2012-12-18 224 0.3438
474 quickstart_label 120 days 2012-12-19 281 0.3665
475 quickstart_label 120 days 2012-12-20 279 0.3333
476 quickstart_label 120 days 2012-12-21 169 0.3373
477 quickstart_label 120 days 2012-12-22 97 0.2371
478 quickstart_label 120 days 2012-12-23 297 0.3771
479 quickstart_label 120 days 2012-12-24 239 0.2636
480 quickstart_label 120 days 2012-12-25 163 0.3006
481 quickstart_label 120 days 2012-12-26 199 0.2864
482 quickstart_label 120 days 2012-12-27 106 0.2642
483 quickstart_label 120 days 2012-12-28 307 0.2834
484 quickstart_label 120 days 2012-12-29 234 0.3376
485 quickstart_label 120 days 2012-12-30 77 0.3896
486 quickstart_label 120 days 2012-12-31 104 0.2885
487 quickstart_label 120 days 2013-01-01 136 0.3456
488 quickstart_label 120 days 2013-01-02 240 0.3750
489 quickstart_label 120 days 2013-01-03 194 0.4072
490 quickstart_label 120 days 2013-01-04 140 0.3929
491 quickstart_label 120 days 2013-01-05 63 0.5238
492 quickstart_label 120 days 2013-01-06 289 0.3045
493 quickstart_label 120 days 2013-01-07 347 0.4179
494 quickstart_label 120 days 2013-01-08 158 0.3734
495 quickstart_label 120 days 2013-01-09 209 0.4019
496 quickstart_label 120 days 2013-01-10 143 0.2797
497 quickstart_label 120 days 2013-01-11 115 0.3478
498 quickstart_label 120 days 2013-01-12 102 0.4510
499 quickstart_label 120 days 2013-01-13 316 0.3639
500 quickstart_label 120 days 2013-01-14 406 0.3941
501 quickstart_label 120 days 2013-01-15 322 0.3230
502 quickstart_label 120 days 2013-01-16 211 0.4360
503 quickstart_label 120 days 2013-01-17 337 0.3531
504 quickstart_label 120 days 2013-01-18 265 0.3887
505 quickstart_label 120 days 2013-01-19 220 0.3545
506 quickstart_label 120 days 2013-01-20 308 0.3312
507 quickstart_label 120 days 2013-01-21 501 0.3174
508 quickstart_label 120 days 2013-01-22 396 0.3232
509 quickstart_label 120 days 2013-01-23 256 0.3320
510 quickstart_label 120 days 2013-01-24 137 0.3139
511 quickstart_label 120 days 2013-01-25 323 0.3406
512 quickstart_label 120 days 2013-01-26 382 0.3037
513 quickstart_label 120 days 2013-01-27 507 0.3393
514 quickstart_label 120 days 2013-01-28 371 0.2642
515 quickstart_label 120 days 2013-01-29 243 0.2798
516 quickstart_label 120 days 2013-01-30 403 0.2581
517 quickstart_label 120 days 2013-01-31 89 0.3146
In [9]:
cohort_summary[['cohort_size', 'baserate']].describe()
Out[9]:
cohort_size baserate
count 518.0000 518.0000
mean 318.8668 0.3327
std 228.7667 0.0699
min 5.0000 0.0833
25% 156.0000 0.2874
50% 249.5000 0.3320
75% 423.7500 0.3766
max 1490.0000 0.6989

4. Predictors¶

In [10]:
features = list_all_features(db_engine, experiment_hashes[0])
features
Out[10]:
feature_group feature_name metrics time_horizons feature_type imputation
0 donation_features district_funding_rate_1yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
1 donation_features zip_avg_donations_1yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
2 donation_features zip_funding_rate_1yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
3 donation_features teacher_avg_donations_2yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
4 donation_features teacher_funding_rate_2yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
5 donation_features teacher_avg_donations_1yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
6 donation_features teacher_funding_rate_1yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
7 donation_features district_avg_donations_2yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
8 donation_features district_funding_rate_2yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
9 donation_features district_avg_donations_1yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
10 donation_features zip_avg_donations_2yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
11 donation_features zip_funding_rate_2yr sum all continuous_aggregate {"all": {"type": "constant", "value": 0}}
12 essay_features length(essay)::int sum all continuous_aggregate {"all": {"type": "zero"}}
13 project_features school_state sum all categorical_aggregate {"all": {"type": "null_category"}}
14 project_features teacher_prefix sum all categorical_aggregate {"all": {"type": "null_category"}}
15 project_features grade_level sum all categorical_aggregate {"all": {"type": "null_category"}}
16 project_features poverty_level sum all categorical_aggregate {"all": {"type": "null_category"}}
17 project_features resource_type sum all categorical_aggregate {"all": {"type": "null_category"}}
18 project_features school_metro sum all categorical_aggregate {"all": {"type": "null_category"}}
19 project_features total_asking_price sum all continuous_aggregate {"all": {"type": "zero"}}
20 resources_features item_quantity sum all continuous_aggregate {"all": {"type": "zero"}}
21 resources_features item_unit_price sum all continuous_aggregate {"all": {"type": "zero"}}

4.1 Missingness of Features¶

In [11]:
feature_missingness_stats(db_engine)

2024-09-05 16:30:16 -    INFO 5 Tables
Out[11]:
mean (%) min (%) max (%)
resources_features_entity_id_all_item_quantity 1.3722 0.0 27.3973
resources_features_entity_id_all_item_unit_price 1.3722 0.0 27.3973
donation_features_entity_id_all_district_avg_donations_1yr 31.6839 0.0 53.8947
donation_features_entity_id_all_district_avg_donations_2yr 20.8356 0.0 36.1702
donation_features_entity_id_all_district_funding_rate_1yr 28.9151 0.0 48.6316
donation_features_entity_id_all_district_funding_rate_2yr 18.4579 0.0 36.1702
donation_features_entity_id_all_teacher_avg_donations_1yr 62.4781 0.0 91.9355
donation_features_entity_id_all_teacher_avg_donations_2yr 53.8363 0.0 89.0681
donation_features_entity_id_all_teacher_funding_rate_1yr 60.5686 0.0 90.5018
donation_features_entity_id_all_teacher_funding_rate_2yr 52.1607 0.0 88.1720
donation_features_entity_id_all_zip_avg_donations_1yr 9.2967 0.0 25.7009
donation_features_entity_id_all_zip_avg_donations_2yr 4.6881 0.0 17.7994
donation_features_entity_id_all_zip_funding_rate_1yr 7.7973 0.0 24.2991
donation_features_entity_id_all_zip_funding_rate_2yr 3.9644 0.0 17.7994

5. Model Groups Built¶

In [12]:
summarize_model_groups(db_engine, experiment_hashes)
Out[12]:
model_group_id model_type hyperparameters
0 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'}
1 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2}
2 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2}
3 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2}
4 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2}
5 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10}
6 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10}
7 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10}
8 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10}
9 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25}
10 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25}
11 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25}
12 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25}
13 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50}
14 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50}
15 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50}
16 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50}
17 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2}
18 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2}
19 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2}
20 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2}
21 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10}
22 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10}
23 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10}
24 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10}
25 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25}
26 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25}
27 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25}
28 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25}
29 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50}
30 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50}
31 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50}
32 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50}
33 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2}
34 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2}
35 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2}
36 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2}
37 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10}
38 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10}
39 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10}
40 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10}
41 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25}
42 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25}
43 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25}
44 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25}
45 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50}
46 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50}
47 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50}
48 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50}
49 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2}
50 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2}
51 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2}
52 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2}
53 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10}
54 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10}
55 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10}
56 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10}
57 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25}
58 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25}
59 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25}
60 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25}
61 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50}
62 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50}
63 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50}
64 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50}
65 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2}
66 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2}
67 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2}
68 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2}
69 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10}
70 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10}
71 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10}
72 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10}
73 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25}
74 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25}
75 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25}
76 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25}
77 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50}
78 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50}
79 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50}
80 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50}
81 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2}
82 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2}
83 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2}
84 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2}
85 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10}
86 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10}
87 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10}
88 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10}
89 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25}
90 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25}
91 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25}
92 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25}
93 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50}
94 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50}
95 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50}
96 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50}
97 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2}
98 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2}
99 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2}
100 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2}
101 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10}
102 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10}
103 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10}
104 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10}
105 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25}
106 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25}
107 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25}
108 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25}
109 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50}
110 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50}
111 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50}
112 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50}
113 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2}
114 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2}
115 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2}
116 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2}
117 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10}
118 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10}
119 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10}
120 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10}
121 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25}
122 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25}
123 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25}
124 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25}
125 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50}
126 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50}
127 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50}
128 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50}
129 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2}
130 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2}
131 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2}
132 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2}
133 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10}
134 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10}
135 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10}
136 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10}
137 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25}
138 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25}
139 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25}
140 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25}
141 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50}
142 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50}
143 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50}
144 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50}
145 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2}
146 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2}
147 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2}
148 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2}
149 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10}
150 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10}
151 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10}
152 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10}
153 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25}
154 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25}
155 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25}
156 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25}
157 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50}
158 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50}
159 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50}
160 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50}
161 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2}
162 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2}
163 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2}
164 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2}
165 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10}
166 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10}
167 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10}
168 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10}
169 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25}
170 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25}
171 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25}
172 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25}
173 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50}
174 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50}
175 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50}
176 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50}
177 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2}
178 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2}
179 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2}
180 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2}
181 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10}
182 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10}
183 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10}
184 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10}
185 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25}
186 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25}
187 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25}
188 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25}
189 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50}
190 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50}
191 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50}
192 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50}
193 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2}
194 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10}
195 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25}
196 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50}
197 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2}
198 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10}
199 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25}
200 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50}
201 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2}
202 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10}
203 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25}
204 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50}
205 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2}
206 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10}
207 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25}
208 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50}
209 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]}
210 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
211 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}
212 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
213 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}
214 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
215 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}
216 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
217 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}
218 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
219 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}
220 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
221 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}
222 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000}
223 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000}

6. All Models Built¶

In [13]:
list_all_models(db_engine, experiment_hashes)
Out[13]:
model_id model_group_id model_type hyperparameters train_end_time
0 7071 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-09-01
1 7134 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-11-01
2 6945 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-05-01
3 7039 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-08-01
4 6913 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-04-01
5 7007 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-07-01
6 7167 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-12-01
7 6849 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-02-01
8 7103 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-10-01
9 7199 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2013-01-01
10 6881 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-03-01
11 6976 813 sklearn.dummy.DummyClassifier {'strategy': 'prior'} 2012-06-01
12 8664 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
13 8312 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
14 8863 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
15 7261 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
16 7765 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
17 8643 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
18 7207 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
19 7615 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
20 8711 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
21 8987 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
22 8239 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
23 9353 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
24 7524 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
25 8538 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
26 7970 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
27 7937 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
28 8872 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
29 7599 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
30 8236 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
31 9053 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
32 7740 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
33 8815 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
34 7423 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
35 8948 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
36 8155 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
37 8232 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
38 9273 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
39 7412 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
40 7884 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
41 9266 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
42 7944 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
43 8536 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
44 7769 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
45 8799 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
46 7691 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
47 9478 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
48 7627 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
49 7372 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
50 8124 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
51 9164 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
52 9064 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
53 8016 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
54 7699 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
55 8773 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
56 7510 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
57 9005 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
58 7419 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
59 7946 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
60 8670 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
61 8844 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
62 7500 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
63 9169 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
64 7410 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
65 7607 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
66 7811 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
67 9456 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
68 8403 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
69 7676 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
70 8462 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
71 7711 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
72 8985 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
73 8889 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
74 7629 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
75 9413 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
76 7285 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
77 9038 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
78 7925 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
79 7939 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
80 8144 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
81 8509 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
82 8345 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
83 9349 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
84 7894 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
85 8531 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
86 7636 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
87 8499 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
88 9123 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
89 7365 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
90 7798 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
91 8782 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
92 8894 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
93 7824 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
94 9106 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
95 8406 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
96 8413 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
97 8173 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
98 9482 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
99 9261 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
100 9100 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
101 7502 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
102 9077 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
103 8273 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
104 9457 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
105 8946 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
106 7605 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
107 9230 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
108 8007 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
109 9225 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
110 8010 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
111 7867 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
112 8732 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
113 8877 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
114 8929 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
115 8547 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
116 8850 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
117 8224 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
118 7356 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
119 9134 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
120 8988 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
121 8539 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
122 7411 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
123 8710 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
124 7700 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
125 7784 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
126 7938 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
127 7966 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
128 7320 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
129 8493 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
130 7382 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
131 7522 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
132 8958 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
133 8134 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
134 8846 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
135 8780 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
136 9452 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
137 7673 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
138 9284 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
139 7772 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
140 7795 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
141 8540 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
142 9210 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
143 8087 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
144 9308 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
145 7233 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
146 7440 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
147 8086 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
148 9050 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
149 8752 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
150 7727 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
151 7553 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
152 9299 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
153 7623 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
154 8808 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
155 9297 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
156 7859 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
157 7918 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
158 7731 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
159 7833 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
160 7445 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
161 9336 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
162 9052 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
163 7802 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
164 8829 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
165 8427 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
166 7717 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
167 7227 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
168 9055 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
169 8085 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
170 8002 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
171 7282 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
172 9017 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
173 9256 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
174 9031 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
175 9330 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
176 8276 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
177 7883 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
178 9119 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
179 8637 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
180 7761 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
181 8931 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
182 8040 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
183 7499 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
184 8865 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
185 7650 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
186 8313 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
187 9342 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
188 8973 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
189 8369 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
190 8658 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
191 7479 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
192 9461 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
193 9381 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
194 9221 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
195 7498 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
196 7478 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
197 7590 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
198 8396 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
199 7850 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
200 8734 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
201 8428 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
202 8767 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
203 7230 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
204 8748 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
205 9247 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
206 8669 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
207 8333 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
208 9182 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
209 8597 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
210 8816 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
211 8763 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
212 8838 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-10-01
213 8310 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
214 7915 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
215 8736 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
216 8904 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
217 9389 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
218 8662 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
219 9054 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
220 7229 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
221 8361 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
222 7346 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
223 8890 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
224 8088 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
225 7383 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
226 7371 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
227 8331 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
228 7729 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
229 9290 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
230 8680 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
231 7234 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
232 8443 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
233 7467 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
234 9104 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
235 8062 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
236 7932 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
237 8673 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
238 8343 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
239 7969 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
240 9385 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
241 8158 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
242 8701 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
243 8432 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
244 8659 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
245 9282 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
246 9029 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
247 7350 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
248 7609 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
249 8275 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
250 9008 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
251 8887 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
252 9181 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
253 8590 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
254 9407 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
255 8915 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
256 8731 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
257 9222 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
258 9394 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
259 8918 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-10-01
260 9013 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
261 9042 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
262 8187 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
263 8947 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
264 7519 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
265 8252 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
266 9062 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
267 8874 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
268 8776 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
269 8534 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
270 7886 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
271 7902 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
272 7481 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
273 8006 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
274 8544 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
275 8569 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
276 7529 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
277 8193 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
278 8514 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
279 9188 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
280 8907 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
281 9114 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
282 8526 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
283 9465 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
284 7576 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
285 8084 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
286 8279 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
287 8840 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
288 8235 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
289 7279 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
290 9334 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
291 9351 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
292 9295 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
293 8978 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
294 8857 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
295 8495 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
296 8578 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
297 8250 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
298 8311 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
299 9240 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
300 9061 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
301 7781 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
302 7737 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
303 8927 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
304 7821 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
305 8170 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
306 8245 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
307 7572 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
308 7983 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
309 7210 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
310 7841 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
311 8160 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
312 8608 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
313 7275 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
314 9121 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
315 8746 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
316 7908 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
317 9186 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
318 8094 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
319 9384 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
320 8044 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
321 7370 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
322 9199 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
323 9078 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
324 7455 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
325 8607 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
326 8771 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
327 8631 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
328 7543 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
329 8895 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
330 8148 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
331 9105 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
332 8410 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
333 8869 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
334 9300 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
335 7466 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
336 7551 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
337 7766 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
338 8119 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
339 9096 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
340 7612 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
341 9097 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
342 8157 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
343 7303 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
344 7494 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
345 8528 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
346 7863 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
347 8228 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
348 8249 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
349 8793 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
350 8790 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-10-01
351 7706 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
352 7723 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
353 9468 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
354 8519 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
355 8584 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
356 8619 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
357 8777 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
358 7255 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
359 8579 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
360 7839 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
361 8830 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
362 8123 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
363 9218 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
364 8456 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
365 8357 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
366 7734 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
367 9108 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
368 7880 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
369 8786 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
370 7592 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
371 9049 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
372 7403 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
373 8972 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
374 8374 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
375 8186 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
376 7539 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
377 7899 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
378 8367 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
379 8530 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
380 8147 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
381 7266 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
382 8807 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
383 9375 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
384 8876 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
385 7681 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
386 8905 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
387 8457 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
388 8297 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
389 8330 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
390 8500 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
391 7267 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
392 8843 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
393 8019 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
394 9109 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
395 9376 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
396 7619 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
397 8197 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
398 8440 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
399 9269 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
400 9379 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
401 7472 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
402 7632 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
403 7273 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
404 8359 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
405 9073 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
406 9066 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
407 8231 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
408 9159 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
409 9265 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
410 7958 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
411 9010 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
412 8199 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
413 8745 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
414 9391 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
415 7603 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
416 8339 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
417 9001 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
418 7269 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
419 7986 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
420 8064 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
421 8935 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
422 8618 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
423 8678 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
424 8295 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
425 7634 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
426 8429 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
427 9270 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
428 7497 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
429 8834 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
430 9033 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
431 8583 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
432 8852 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
433 8911 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
434 7289 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
435 7329 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
436 8635 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
437 8352 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
438 8924 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
439 9146 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
440 7457 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
441 9102 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
442 9032 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
443 8172 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
444 9000 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
445 9444 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
446 8821 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
447 9325 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
448 7984 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
449 7379 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
450 7840 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
451 7471 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
452 9337 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
453 9316 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
454 8700 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
455 9136 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
456 8122 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
457 7948 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
458 9276 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
459 7287 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
460 8484 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
461 8105 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
462 9094 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
463 9398 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
464 7360 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
465 7552 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
466 9453 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
467 7954 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
468 9023 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
469 7701 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
470 9184 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
471 8467 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
472 8356 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
473 7421 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
474 8571 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
475 8108 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
476 7219 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
477 7409 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
478 8591 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
479 8266 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
480 8688 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
481 7506 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
482 8383 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
483 7807 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
484 8291 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
485 7243 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
486 7341 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
487 9167 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
488 7517 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
489 9475 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
490 9154 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
491 7608 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
492 9258 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
493 9091 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
494 9255 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
495 9491 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
496 7685 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
497 7437 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
498 9144 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
499 8425 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
500 9443 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
501 7459 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
502 7690 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
503 8520 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
504 9481 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
505 7860 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
506 7241 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
507 8246 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
508 7617 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
509 9168 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
510 8326 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
511 7485 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
512 9248 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
513 9416 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
514 8919 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
515 8788 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
516 7947 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
517 8932 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
518 7475 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
519 7888 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
520 8047 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
521 7694 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
522 8705 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
523 8640 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
524 9239 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
525 7724 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
526 8675 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
527 7794 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
528 8260 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
529 9232 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
530 9438 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
531 7682 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
532 8332 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
533 7550 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
534 9216 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
535 8756 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
536 8698 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
537 7368 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
538 7877 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
539 9156 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
540 8336 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
541 9348 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
542 8588 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
543 8283 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
544 7898 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
545 8644 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
546 7417 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
547 8470 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
548 7337 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
549 9485 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
550 8566 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
551 8306 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
552 9504 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
553 8908 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
554 9272 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
555 7614 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
556 8405 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
557 8697 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
558 8833 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
559 8858 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
560 8517 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
561 9289 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
562 8750 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
563 8491 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
564 8719 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
565 7509 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
566 7589 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
567 8171 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
568 8941 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
569 7782 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
570 7732 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
571 8322 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
572 7249 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
573 7739 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
574 8934 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
575 7790 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
576 8502 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
577 7546 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
578 8407 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
579 7535 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
580 7893 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
581 8033 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
582 8835 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
583 9372 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
584 7394 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
585 8251 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
586 7845 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
587 7493 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
588 8828 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
589 9002 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
590 8570 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
591 9193 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
592 9090 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
593 8722 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
594 7848 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
595 8979 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
596 8996 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
597 8950 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
598 8707 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
599 7868 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
600 7504 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
601 8867 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
602 9362 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
603 7305 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
604 8382 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
605 9072 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
606 7239 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
607 8036 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
608 9242 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
609 8416 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
610 8516 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
611 8626 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
612 7302 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
613 8898 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
614 8819 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
615 9327 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
616 9402 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
617 9303 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
618 7820 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
619 8168 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
620 8791 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
621 7956 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
622 8938 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
623 7209 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
624 8468 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
625 8414 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
626 9011 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
627 9177 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
628 8580 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
629 8143 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
630 9238 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
631 9460 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
632 7645 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
633 7596 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
634 7566 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
635 9462 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
636 7697 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
637 9141 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
638 7921 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
639 7951 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
640 8242 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
641 8164 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
642 8813 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
643 8380 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
644 8149 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
645 9396 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
646 7771 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
647 9505 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
648 7822 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
649 9455 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
650 7671 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
651 8825 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
652 7235 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
653 9345 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
654 9355 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
655 7788 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
656 8282 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
657 7813 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
658 7237 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
659 9196 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
660 7434 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
661 7549 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
662 8740 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
663 8654 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
664 8792 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
665 9341 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
666 7311 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
667 9045 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
668 8558 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
669 8952 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
670 8703 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
671 8856 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
672 8098 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
673 8501 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
674 9226 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
675 8258 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
676 8824 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
677 8522 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
678 9442 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
679 7677 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
680 7747 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
681 7388 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
682 8305 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
683 7358 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
684 8775 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
685 9162 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
686 8981 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
687 7642 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
688 8039 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
689 7298 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
690 8046 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
691 7644 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
692 8287 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
693 9206 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
694 8503 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
695 9305 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
696 8628 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
697 8594 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
698 7705 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
699 7217 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
700 8118 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
701 7721 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
702 8696 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
703 7420 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
704 7722 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
705 8045 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
706 9386 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
707 9320 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
708 8014 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
709 8475 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
710 9315 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
711 7464 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
712 9080 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
713 9074 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
714 7363 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
715 7638 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
716 8296 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
717 8535 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
718 9377 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
719 8347 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
720 7427 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
721 7362 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
722 8913 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
723 8998 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
724 9243 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
725 8142 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
726 9410 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
727 8256 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
728 8150 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
729 8759 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
730 7487 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
731 7917 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
732 7770 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
733 7941 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
734 8564 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
735 8213 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
736 7228 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
737 8074 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
738 7901 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
739 9202 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
740 8372 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
741 8954 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
742 9082 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
743 8794 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
744 7856 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
745 9363 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
746 7245 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
747 9424 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
748 7643 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
749 7862 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
750 8302 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
751 8577 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
752 7973 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
753 9313 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
754 8426 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
755 7703 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
756 8729 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
757 8121 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
758 9329 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
759 7284 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
760 7858 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
761 8897 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
762 9467 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
763 8749 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
764 8261 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
765 7719 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
766 8455 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
767 8334 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
768 7803 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
769 7980 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
770 7879 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
771 9129 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
772 8873 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
773 9280 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
774 7923 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
775 7783 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
776 7527 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
777 8472 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
778 8636 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
779 8373 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
780 9434 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
781 9275 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
782 9496 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
783 9174 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
784 9495 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
785 9047 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
786 7974 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
787 8206 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
788 8983 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
789 8717 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
790 8809 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
791 8692 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
792 8605 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
793 7786 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
794 7654 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
795 7343 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
796 7268 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
797 8192 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
798 8321 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
799 7819 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
800 7657 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
801 7503 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
802 9404 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
803 9099 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
804 8129 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
805 8677 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
806 7424 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
807 8627 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
808 7526 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
809 9296 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
810 8363 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
811 8191 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
812 8866 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
813 8923 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
814 8652 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
815 8683 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
816 7532 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
817 7300 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
818 8882 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
819 7270 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
820 7696 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
821 9267 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
822 7757 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
823 8469 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
824 8704 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
825 8360 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
826 9439 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
827 9490 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
828 9040 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
829 9130 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
830 8247 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
831 8900 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
832 8021 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
833 8837 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
834 7990 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
835 7461 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
836 7936 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
837 8679 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
838 7316 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
839 8860 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
840 8290 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
841 7555 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
842 7349 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
843 8684 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
844 7574 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
845 7853 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
846 9288 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
847 9271 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
848 9215 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
849 9312 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
850 9158 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
851 8434 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
852 7256 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
853 7967 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
854 7258 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
855 8452 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
856 7767 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
857 8975 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
858 7333 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
859 7679 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
860 8713 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
861 7468 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
862 7987 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
863 9447 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
864 8182 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
865 8991 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
866 8515 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
867 8389 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
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1007 8568 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
1008 8083 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
1009 8257 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
1010 7831 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1011 7291 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
1012 8176 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
1013 9279 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
1014 7328 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1015 8423 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
1016 8185 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
1017 7560 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1018 7922 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1019 8049 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
1020 8393 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1021 8853 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
1022 8376 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
1023 8447 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1024 8655 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
1025 9423 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
1026 7325 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
1027 7736 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
1028 7293 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
1029 8741 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
1030 8847 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
1031 8937 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
1032 7593 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
1033 7355 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
1034 8346 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
1035 9321 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
1036 7663 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
1037 9502 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
1038 7473 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
1039 7887 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1040 9260 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
1041 7800 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
1042 7620 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
1043 8803 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
1044 8862 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
1045 7413 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
1046 8009 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
1047 8107 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
1048 7595 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
1049 9486 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
1050 7718 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
1051 9435 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
1052 9414 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
1053 8489 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1054 9179 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
1055 8159 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
1056 7563 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
1057 9441 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
1058 7290 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1059 7203 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
1060 7864 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
1061 7415 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1062 9459 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
1063 7211 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
1064 8218 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
1065 7513 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
1066 8504 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
1067 8018 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
1068 9020 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
1069 8386 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
1070 9324 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
1071 8969 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
1072 7588 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
1073 9063 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
1074 9058 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
1075 7744 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1076 8237 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
1077 9153 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
1078 9436 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
1079 8449 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
1080 9420 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
1081 9085 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
1082 9228 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
1083 8145 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
1084 7953 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
1085 8781 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1086 8153 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
1087 7997 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
1088 8243 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
1089 8453 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
1090 8365 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
1091 7963 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
1092 7254 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1093 9479 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
1094 8288 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
1095 8642 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1096 9030 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
1097 7573 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
1098 8967 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
1099 8140 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
1100 8910 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
1101 7777 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
1102 8485 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
1103 8366 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
1104 8146 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
1105 7648 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1106 7830 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
1107 7611 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
1108 7874 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1109 7206 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1110 8575 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
1111 7216 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1112 9472 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
1113 7959 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1114 7683 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
1115 8259 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
1116 8647 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
1117 7232 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1118 9401 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
1119 8188 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1120 9373 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
1121 7796 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
1122 7396 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
1123 8795 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
1124 7764 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
1125 8198 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
1126 8244 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
1127 8871 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
1128 8190 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
1129 8878 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-10-01
1130 8706 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1131 8076 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
1132 8512 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
1133 8271 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
1134 7952 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
1135 8020 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
1136 9183 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
1137 7314 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
1138 9366 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
1139 7666 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
1140 8091 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
1141 9025 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
1142 7779 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
1143 8422 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
1144 7852 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
1145 9323 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
1146 9083 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
1147 7354 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1148 8474 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
1149 8348 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1150 8612 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
1151 7993 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
1152 8989 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
1153 7240 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
1154 9274 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
1155 8214 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
1156 8390 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
1157 7446 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
1158 8691 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
1159 8649 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
1160 7361 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
1161 8963 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
1162 7872 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
1163 8545 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
1164 8870 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-10-01
1165 7492 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
1166 7548 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
1167 7965 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
1168 8227 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
1169 7935 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1170 8253 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
1171 7865 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
1172 7785 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
1173 7482 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
1174 8325 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1175 8851 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
1176 9139 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
1177 9400 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
1178 9084 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
1179 8912 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
1180 9070 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1181 7246 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1182 7448 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1183 7992 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1184 7406 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
1185 8562 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1186 8015 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
1187 7801 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
1188 8693 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
1189 8092 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
1190 8681 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
1191 7625 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
1192 7847 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1193 9148 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
1194 8921 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
1195 7538 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1196 8549 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
1197 7208 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
1198 9101 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
1199 8957 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
1200 8286 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
1201 7332 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
1202 8004 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
1203 8241 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
1204 8130 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
1205 7310 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1206 7533 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
1207 9500 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
1208 8964 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
1209 9287 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
1210 9390 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
1211 8708 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
1212 8212 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
1213 7752 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
1214 8743 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
1215 7906 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1216 8099 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
1217 8327 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
1218 8667 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
1219 7989 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
1220 8248 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
1221 9292 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
1222 8265 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
1223 8990 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1224 7928 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
1225 9165 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
1226 8543 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
1227 8381 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
1228 8221 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
1229 7432 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1230 8885 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
1231 8527 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1232 8384 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
1233 7622 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
1234 9427 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
1235 8344 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
1236 7885 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
1237 7231 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
1238 9494 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
1239 8435 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
1240 9417 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
1241 8392 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
1242 8742 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-10-01
1243 7501 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
1244 9367 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
1245 8511 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1246 8755 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
1247 7778 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1248 8368 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
1249 7854 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
1250 9298 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
1251 8494 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
1252 7799 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1253 8761 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
1254 9137 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
1255 9076 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
1256 8048 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
1257 8645 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
1258 9378 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
1259 7971 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
1260 8161 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
1261 8042 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
1262 9059 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
1263 7870 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
1264 7981 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
1265 7512 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1266 8505 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1267 9488 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
1268 9477 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
1269 7842 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1270 9302 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
1271 8442 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
1272 9209 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
1273 8513 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
1274 7375 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
1275 9314 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
1276 7875 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
1277 7610 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
1278 8167 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
1279 8342 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
1280 7646 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
1281 7469 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
1282 8881 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
1283 9069 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
1284 7263 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
1285 8676 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
1286 9291 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
1287 8720 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
1288 8712 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
1289 7398 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
1290 8725 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
1291 8217 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
1292 8166 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
1293 9086 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1294 8204 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1295 8606 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
1296 7649 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
1297 9448 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
1298 9115 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
1299 8293 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1300 9428 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
1301 8397 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
1302 9361 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
1303 7465 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
1304 9051 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
1305 7321 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
1306 9277 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
1307 7600 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1308 9252 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
1309 8030 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
1310 7387 776 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
1311 9497 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
1312 9359 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
1313 7930 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
1314 9021 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
1315 7635 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
1316 8195 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
1317 7399 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1318 9003 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
1319 8441 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1320 7900 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
1321 8909 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1322 7912 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
1323 8473 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1324 8478 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
1325 8037 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
1326 8744 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
1327 8394 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
1328 9301 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
1329 8106 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
1330 8101 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
1331 7322 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1332 9374 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
1333 9476 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
1334 9079 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
1335 8136 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1336 7905 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
1337 9009 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
1338 7236 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
1339 9213 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
1340 9393 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
1341 9338 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
1342 8945 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
1343 8439 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
1344 8328 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
1345 7564 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
1346 7393 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
1347 8574 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
1348 7835 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
1349 8097 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
1350 7476 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
1351 8888 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
1352 8797 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1353 7680 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1354 7823 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1355 8451 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
1356 7276 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
1357 8230 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
1358 8861 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1359 7656 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
1360 8294 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
1361 7637 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
1362 8624 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
1363 7570 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1364 8805 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
1365 7496 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1366 9281 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
1367 8716 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
1368 8081 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
1369 7416 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1370 7816 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-05-01
1371 8408 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
1372 8787 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
1373 9185 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
1374 7331 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
1375 8789 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
1376 7628 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
1377 8135 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
1378 8128 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
1379 8201 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
1380 8641 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
1381 7516 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
1382 7751 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
1383 7430 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
1384 8738 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
1385 9132 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
1386 7392 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1387 8715 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
1388 7836 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
1389 7309 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
1390 9220 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
1391 7735 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
1392 8525 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
1393 8747 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
1394 7226 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1395 7810 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1396 7988 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
1397 8126 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
1398 9019 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
1399 8178 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
1400 8090 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
1401 8013 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
1402 8508 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
1403 7895 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1404 7202 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
1405 7976 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1406 9039 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
1407 9357 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
1408 9283 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
1409 8341 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1410 7815 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1411 8082 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
1412 7630 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
1413 8922 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
1414 9190 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
1415 8026 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
1416 7658 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
1417 8555 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
1418 8056 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1419 9027 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
1420 9399 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
1421 7247 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
1422 7787 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
1423 8760 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
1424 7597 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
1425 7422 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
1426 9117 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
1427 7304 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
1428 8095 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
1429 9437 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
1430 7214 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1431 9412 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
1432 8060 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
1433 9368 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
1434 8537 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1435 7288 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
1436 8240 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
1437 8008 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1438 9463 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
1439 8602 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
1440 7391 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
1441 7647 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
1442 9392 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
1443 9246 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
1444 7927 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1445 7507 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
1446 7897 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
1447 8072 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1448 8859 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
1449 9471 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
1450 9388 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
1451 9205 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
1452 9067 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
1453 8601 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
1454 8634 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
1455 7931 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-05-01
1456 7891 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
1457 8994 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
1458 9431 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
1459 7307 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
1460 8377 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1461 8893 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1462 8721 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
1463 9147 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
1464 8955 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
1465 8354 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
1466 9489 774 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
1467 8207 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
1468 9285 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
1469 8653 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
1470 7871 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1471 7215 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
1472 8492 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
1473 9493 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
1474 8826 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
1475 7943 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
1476 7345 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
1477 8317 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
1478 8726 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
1479 9245 722 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
1480 7238 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1481 7714 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
1482 8263 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
1483 7812 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
1484 8133 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
1485 8581 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
1486 8479 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1487 8270 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
1488 8024 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1489 9006 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1490 7531 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
1491 9365 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
1492 7707 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
1493 7277 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
1494 8765 626 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1495 8125 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
1496 8615 668 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
1497 8498 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
1498 7260 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
1499 7367 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
1500 7829 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
1501 7746 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
1502 9263 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
1503 8035 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
1504 8051 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
1505 8038 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
1506 9235 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
1507 8639 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
1508 8754 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
1509 7834 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
1510 9057 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
1511 7306 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1512 7528 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1513 9170 647 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
1514 8031 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
1515 7669 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
1516 9046 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
1517 9223 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
1518 9466 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
1519 8066 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
1520 8304 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
1521 8069 690 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
1522 9358 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
1523 7756 761 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
1524 9422 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
1525 8112 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
1526 7544 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-03-01
1527 8132 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
1528 8546 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1529 8025 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
1530 8070 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
1531 7653 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-04-01
1532 8370 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
1533 8391 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
1534 8920 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-10-01
1535 7274 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1536 9200 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
1537 8695 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
1538 8903 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
1539 9395 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
1540 8111 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
1541 8471 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
1542 7759 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
1543 8556 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
1544 8011 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
1545 8914 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
1546 8041 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
1547 7286 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1548 8906 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
1549 8656 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
1550 8614 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
1551 9352 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
1552 8980 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
1553 8625 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
1554 9178 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
1555 7916 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
1556 7745 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
1557 7919 732 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1558 7687 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
1559 9483 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
1560 8839 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
1561 7955 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
1562 7934 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
1563 7708 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
1564 8599 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
1565 8727 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
1566 7881 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
1567 8481 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
1568 8529 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
1569 9087 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
1570 8933 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
1571 9487 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
1572 9075 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
1573 7753 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
1574 8827 688 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
1575 9028 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
1576 7684 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
1577 8648 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
1578 7488 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
1579 8152 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
1580 7436 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
1581 9450 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
1582 8804 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
1583 7775 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
1584 7326 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1585 7308 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
1586 7213 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
1587 8521 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-08-01
1588 7586 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
1589 8054 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
1590 8353 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
1591 7741 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
1592 7447 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1593 7317 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
1594 8154 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
1595 8942 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1596 8183 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
1597 9397 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
1598 7490 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1599 7763 768 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
1600 9469 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
1601 7545 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
1602 8944 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
1603 8351 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
1604 8762 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
1605 8175 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
1606 9036 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
1607 8454 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
1608 9095 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
1609 9307 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
1610 8465 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
1611 9310 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
1612 7890 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1613 7489 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
1614 8292 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
1615 8542 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
1616 7804 617 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-05-01
1617 7604 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
1618 7626 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-04-01
1619 7425 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
1620 7776 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1621 8783 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
1622 8949 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-11-01
1623 9231 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
1624 8461 698 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
1625 8482 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
1626 7381 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
1627 7221 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
1628 8685 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
1629 8202 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
1630 8739 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
1631 8961 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
1632 8000 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-06-01
1633 7758 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
1634 8220 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1635 9022 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1636 7686 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
1637 9060 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
1638 7380 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
1639 8674 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1640 7575 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1641 8412 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
1642 8464 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
1643 9071 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
1644 8926 595 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-11-01
1645 7280 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1646 8567 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
1647 8315 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
1648 8089 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
1649 7505 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
1650 8733 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1651 7982 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
1652 9187 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
1653 9503 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1654 7486 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
1655 9418 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
1656 8415 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1657 8832 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
1658 8238 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
1659 8229 658 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1660 7878 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
1661 8589 642 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
1662 8595 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
1663 8563 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-09-01
1664 9425 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
1665 8053 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-06-01
1666 7587 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
1667 8891 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
1668 8557 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
1669 8770 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
1670 8610 663 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1671 8165 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1672 7861 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
1673 8986 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
1674 7225 614 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-02-01
1675 8690 743 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-09-01
1676 8078 699 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-06-01
1677 9207 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-12-01
1678 9151 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
1679 8966 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
1680 8223 652 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
1681 8730 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
1682 9501 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
1683 8916 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
1684 7264 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1685 8226 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
1686 8417 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
1687 8800 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
1688 8022 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-06-01
1689 9474 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
1690 7933 746 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
1691 8559 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
1692 7435 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
1693 8883 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-10-01
1694 8694 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
1695 8437 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-08-01
1696 7743 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
1697 9128 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
1698 9122 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
1699 7557 754 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
1700 7386 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
1701 9286 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
1702 9081 750 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
1703 8338 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
1704 9126 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
1705 7259 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
1706 8901 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
1707 7474 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1708 7262 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1709 8225 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
1710 8831 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
1711 9473 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2013-01-01
1712 8553 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
1713 8169 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
1714 7667 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-04-01
1715 9430 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
1716 9044 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
1717 7458 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1718 7567 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
1719 9432 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2013-01-01
1720 7641 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
1721 8301 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
1722 7578 775 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
1723 9484 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2013-01-01
1724 7523 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
1725 8953 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
1726 7364 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
1727 7431 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1728 7537 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
1729 8621 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-09-01
1730 8960 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
1731 7672 677 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
1732 8115 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
1733 8779 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-10-01
1734 8316 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1735 7892 705 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
1736 7849 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
1737 8215 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-07-01
1738 9244 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
1739 7405 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
1740 9449 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
1741 8362 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
1742 7826 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-05-01
1743 8100 721 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
1744 7606 611 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
1745 8951 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
1746 8845 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-10-01
1747 8058 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
1748 8550 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
1749 7585 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
1750 8665 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
1751 9219 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
1752 7272 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
1753 7318 707 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1754 7907 720 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
1755 8068 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
1756 8928 597 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
1757 8184 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
1758 7334 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1759 9163 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
1760 7315 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
1761 9155 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-12-01
1762 7809 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
1763 7514 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
1764 9507 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
1765 9371 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
1766 7942 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
1767 7808 621 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
1768 7957 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
1769 7791 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1770 8820 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
1771 9446 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2013-01-01
1772 7556 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
1773 8623 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
1774 8205 634 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
1775 8438 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
1776 8299 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-07-01
1777 8936 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
1778 7991 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
1779 9173 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
1780 8399 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
1781 7389 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-02-01
1782 8163 592 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
1783 7453 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
1784 7351 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
1785 8617 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
1786 8968 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
1787 7903 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-05-01
1788 8277 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1789 8335 764 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-07-01
1790 9224 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
1791 7665 670 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
1792 8284 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1793 9233 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
1794 7889 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
1795 8156 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-06-01
1796 7426 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1797 7825 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
1798 7712 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1799 7670 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-04-01
1800 8329 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-07-01
1801 9253 730 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
1802 9380 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
1803 7559 756 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1804 9204 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
1805 8055 676 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
1806 9354 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
1807 8880 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
1808 8638 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
1809 8818 679 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-10-01
1810 8930 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
1811 8772 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-10-01
1812 7540 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-03-01
1813 8181 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-07-01
1814 7568 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
1815 7347 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-02-01
1816 7678 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
1817 7278 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1818 7438 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
1819 7374 763 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1820 9089 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
1821 9068 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
1822 8114 735 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
1823 7975 596 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
1824 7876 689 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
1825 9145 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
1826 8460 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
1827 8769 630 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
1828 7294 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1829 7495 692 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
1830 8280 709 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
1831 8268 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
1832 7926 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
1833 8572 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
1834 7624 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
1835 8424 661 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
1836 7664 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
1837 7342 731 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
1838 7265 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
1839 7710 715 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
1840 8896 757 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
1841 9004 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
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1934 9364 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2013-01-01
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1936 8446 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
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1938 9406 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2013-01-01
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1940 9360 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
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1956 9440 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
1957 8371 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-08-01
1958 7319 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
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1965 9415 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
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1978 8272 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
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1980 7344 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
1981 9138 615 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-12-01
1982 9135 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-12-01
1983 9056 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-11-01
1984 7873 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
1985 7838 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
1986 8650 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
1987 7768 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
1988 9343 628 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2013-01-01
1989 7442 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
1990 7583 780 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
1991 7366 755 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-02-01
1992 8864 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-10-01
1993 9015 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-11-01
1994 8510 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
1995 8841 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-10-01
1996 8817 678 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
1997 8686 739 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-09-01
1998 8616 669 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-09-01
1999 9433 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
2000 8476 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-08-01
2001 8264 693 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-07-01
2002 8104 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
2003 9369 654 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2013-01-01
2004 9098 767 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
2005 8388 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
2006 7402 599 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-03-01
2007 7296 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
2008 9161 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
2009 9293 770 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
2010 9426 711 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2013-01-01
2011 7439 636 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-03-01
2012 7698 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
2013 7999 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
2014 8620 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-09-01
2015 7695 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-04-01
2016 7659 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
2017 8120 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-06-01
2018 7561 758 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-03-01
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2120 8138 759 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 25} 2012-06-01
2121 8079 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-06-01
2122 8375 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
2123 8177 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
2124 7640 645 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-04-01
2125 7904 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
2126 8210 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
2127 8027 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
2128 8385 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
2129 7292 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
2130 7844 657 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
2131 7204 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
2132 8587 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
2133 7295 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
2134 7443 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-03-01
2135 8340 769 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
2136 9189 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
2137 9259 736 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
2138 7327 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
2139 8113 734 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
2140 7806 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-05-01
2141 9294 771 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
2142 7618 623 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-04-01
2143 8486 723 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-08-01
2144 7359 748 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-02-01
2145 8764 625 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-10-01
2146 9268 745 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
2147 8400 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
2148 8917 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-10-01
2149 9034 703 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
2150 8630 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-09-01
2151 8810 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-10-01
2152 9319 604 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
2153 8458 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-08-01
2154 7760 765 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-04-01
2155 9124 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
2156 8418 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-08-01
2157 9317 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2013-01-01
2158 8586 639 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
2159 9387 672 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
2160 8003 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2012-06-01
2161 8308 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
2162 7242 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
2163 7313 702 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
2164 8488 725 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-08-01
2165 8633 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-09-01
2166 7924 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
2167 9304 781 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
2168 7297 686 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
2169 7748 753 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-04-01
2170 8262 691 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-07-01
2171 9335 620 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2013-01-01
2172 8320 749 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
2173 7979 600 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
2174 8477 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
2175 8436 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-08-01
2176 9018 687 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-11-01
2177 8222 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
2178 7613 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
2179 7340 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
2180 8487 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-08-01
2181 8180 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-07-01
2182 7814 627 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-05-01
2183 8940 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-11-01
2184 9116 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-12-01
2185 8603 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
2186 7547 744 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
2187 8411 648 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
2188 8576 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
2189 9014 683 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
2190 8043 664 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
2191 7692 697 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
2192 7633 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-04-01
2193 7789 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
2194 9370 655 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2013-01-01
2195 8661 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
2196 9035 704 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-11-01
2197 7536 733 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
2198 7541 738 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
2199 8560 613 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 10} 2012-09-01
2200 8943 612 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
2201 8879 740 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-10-01
2202 8141 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
2203 9194 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-12-01
2204 7271 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
2205 9142 619 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-12-01
2206 7384 773 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
2207 8208 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-07-01
2208 7220 609 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
2209 9339 624 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 2} 2013-01-01
2210 7655 660 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-04-01
2211 7404 601 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
2212 9103 772 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-11-01
2213 9012 681 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-11-01
2214 8823 684 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 50} 2012-10-01
2215 8660 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
2216 8211 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-07-01
2217 7755 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-04-01
2218 8699 752 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-09-01
2219 9041 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
2220 8029 650 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-06-01
2221 7339 728 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
2222 7483 680 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-03-01
2223 9411 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
2224 8398 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-08-01
2225 7949 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
2226 7773 778 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-04-01
2227 9113 782 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-11-01
2228 8480 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
2229 7408 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-03-01
2230 9249 726 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 10} 2012-12-01
2231 7377 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-02-01
2232 7470 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-03-01
2233 8565 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
2234 8977 646 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-11-01
2235 7390 779 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-02-01
2236 8613 666 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-09-01
2237 8023 644 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 10} 2012-06-01
2238 9026 695 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 25} 2012-11-01
2239 8395 632 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
2240 8050 671 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-06-01
2241 8445 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-08-01
2242 9421 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2013-01-01
2243 7929 742 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-05-01
2244 7565 762 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-03-01
2245 8596 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-09-01
2246 9229 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-12-01
2247 9198 675 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
2248 7843 656 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
2249 7780 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-05-01
2250 9166 643 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 10} 2012-12-01
2251 7477 674 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 2} 2012-03-01
2252 8337 766 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-07-01
2253 7244 633 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-02-01
2254 9048 717 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
2255 8318 747 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-07-01
2256 9125 602 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
2257 7793 606 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 50} 2012-05-01
2258 9236 713 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-12-01
2259 7338 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-02-01
2260 8300 729 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-07-01
2261 8001 622 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-06-01
2262 7792 605 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-05-01
2263 8925 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
2264 9037 706 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-11-01
2265 7869 682 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 25} 2012-05-01
2266 7521 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-03-01
2267 9331 616 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2013-01-01
2268 9043 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-11-01
2269 7662 667 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
2270 9264 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-12-01
2271 7511 708 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 10} 2012-03-01
2272 8052 673 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
2273 7580 777 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
2274 8139 760 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-06-01
2275 8774 635 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 50} 2012-10-01
2276 7218 607 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-02-01
2277 8801 662 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-10-01
2278 9241 718 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 50} 2012-12-01
2279 7797 610 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 2} 2012-05-01
2280 8663 716 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 50} 2012-09-01
2281 8982 651 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-11-01
2282 8285 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
2283 9131 608 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 2} 2012-12-01
2284 7323 712 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 2500, 'min_samples_split': 25} 2012-02-01
2285 9237 714 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-12-01
2286 7205 594 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 2} 2012-02-01
2287 8189 618 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 25} 2012-07-01
2288 7452 649 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 25} 2012-03-01
2289 7977 598 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-06-01
2290 7689 694 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 10000, 'min_samples_split': 10} 2012-04-01
2291 8298 727 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-07-01
2292 8657 710 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 10000, 'min_samples_split': 10} 2012-09-01
2293 7335 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-02-01
2294 7352 741 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 10} 2012-02-01
2295 8666 719 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 2} 2012-09-01
2296 8463 700 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 50} 2012-08-01
2297 8671 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-09-01
2298 9344 629 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 10} 2013-01-01
2299 7827 640 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 2} 2012-05-01
2300 7818 631 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 1000, 'min_samples_split': 25} 2012-05-01
2301 8448 685 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-08-01
2302 8401 638 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 10000, 'min_samples_split': 50} 2012-08-01
2303 7252 641 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
2304 8162 591 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 2} 2012-07-01
2305 9160 637 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'log2', 'n_estimators': 5000, 'min_samples_split': 50} 2012-12-01
2306 7911 724 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'log2', 'n_estimators': 2500, 'min_samples_split': 10} 2012-05-01
2307 7554 751 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 2} 2012-03-01
2308 7660 665 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 25} 2012-04-01
2309 7598 603 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 1000, 'min_samples_split': 50} 2012-04-01
2310 7972 593 sklearn.ensemble.RandomForestClassifier {'max_depth': 2, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-06-01
2311 7462 659 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'auto', 'n_estimators': 1000, 'min_samples_split': 10} 2012-03-01
2312 8459 696 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 2500, 'min_samples_split': 25} 2012-08-01
2313 8984 653 sklearn.ensemble.RandomForestClassifier {'max_depth': 5, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-11-01
2314 7348 737 sklearn.ensemble.RandomForestClassifier {'max_depth': 50, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 2} 2012-02-01
2315 7312 701 sklearn.ensemble.RandomForestClassifier {'max_depth': 10, 'max_features': 'sqrt', 'n_estimators': 5000, 'min_samples_split': 50} 2012-02-01
2316 7062 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-09-01
2317 6971 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-06-01
2318 6939 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-05-01
2319 6906 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-04-01
2320 7070 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-09-01
2321 7025 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-08-01
2322 7191 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2013-01-01
2323 7090 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-10-01
2324 6943 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-05-01
2325 6900 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-04-01
2326 6994 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-07-01
2327 6997 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-07-01
2328 7001 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-07-01
2329 7129 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-11-01
2330 7031 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-08-01
2331 7161 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-12-01
2332 7024 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-08-01
2333 7160 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-12-01
2334 7004 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-07-01
2335 6845 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-02-01
2336 7100 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-10-01
2337 7060 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-09-01
2338 7038 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-08-01
2339 6868 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-03-01
2340 6959 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-06-01
2341 6995 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-07-01
2342 6936 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-05-01
2343 7035 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-08-01
2344 6898 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-04-01
2345 7154 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-12-01
2346 6911 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-04-01
2347 7054 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-09-01
2348 6875 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-03-01
2349 6899 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-04-01
2350 7002 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-07-01
2351 7183 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2013-01-01
2352 7097 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-10-01
2353 7098 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-10-01
2354 7099 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-10-01
2355 6843 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-02-01
2356 7032 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-08-01
2357 7006 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-07-01
2358 7067 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-09-01
2359 6975 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-06-01
2360 7119 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-11-01
2361 6967 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-06-01
2362 6907 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-04-01
2363 7156 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-12-01
2364 7127 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-11-01
2365 6836 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-02-01
2366 6942 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-05-01
2367 7005 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-07-01
2368 7028 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-08-01
2369 7166 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-12-01
2370 7155 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-12-01
2371 6968 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-06-01
2372 6970 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-06-01
2373 7003 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-07-01
2374 6877 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-03-01
2375 7069 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-09-01
2376 6880 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-03-01
2377 7126 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-11-01
2378 6938 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-05-01
2379 6901 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-04-01
2380 6998 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-07-01
2381 7034 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-08-01
2382 7196 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2013-01-01
2383 6963 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-06-01
2384 6996 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-07-01
2385 7037 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-08-01
2386 6874 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-03-01
2387 6910 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-04-01
2388 6878 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-03-01
2389 7181 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2013-01-01
2390 6840 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-02-01
2391 6972 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-06-01
2392 6992 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-07-01
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2395 6869 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-03-01
2396 7026 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-08-01
2397 6934 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-05-01
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2419 7198 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2013-01-01
2420 6846 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-02-01
2421 7117 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-11-01
2422 7122 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-11-01
2423 6966 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-06-01
2424 6834 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-02-01
2425 7186 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2013-01-01
2426 6903 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-04-01
2427 6870 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-03-01
2428 6902 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-04-01
2429 7022 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-08-01
2430 7189 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2013-01-01
2431 7188 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2013-01-01
2432 7036 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-08-01
2433 7120 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-11-01
2434 7065 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-09-01
2435 6974 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-06-01
2436 6909 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-04-01
2437 6933 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-05-01
2438 7029 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-08-01
2439 7101 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-10-01
2440 7056 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-09-01
2441 6964 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-06-01
2442 7159 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-12-01
2443 7061 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-09-01
2444 6842 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-02-01
2445 7131 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-11-01
2446 7092 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-10-01
2447 7162 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-12-01
2448 6993 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-07-01
2449 6864 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-03-01
2450 7123 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-11-01
2451 7184 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2013-01-01
2452 6999 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-07-01
2453 7158 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-12-01
2454 7124 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-11-01
2455 7096 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-10-01
2456 6837 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-02-01
2457 6944 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-05-01
2458 6879 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-03-01
2459 7157 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-12-01
2460 6941 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-05-01
2461 7193 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2013-01-01
2462 7102 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-10-01
2463 7190 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2013-01-01
2464 7088 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-10-01
2465 6990 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-07-01
2466 7151 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-12-01
2467 6961 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-06-01
2468 6838 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-02-01
2469 6935 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-05-01
2470 6973 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-06-01
2471 6876 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-03-01
2472 6841 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-02-01
2473 7000 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-07-01
2474 7030 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-08-01
2475 7125 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-11-01
2476 7091 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-10-01
2477 7027 801 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 2} 2012-08-01
2478 7058 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2012-09-01
2479 7033 807 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 25} 2012-08-01
2480 6904 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-04-01
2481 6896 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-04-01
2482 7093 804 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 50} 2012-10-01
2483 6844 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-02-01
2484 6908 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-04-01
2485 6835 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-02-01
2486 7063 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-09-01
2487 7087 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-10-01
2488 7163 809 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 2} 2012-12-01
2489 6969 806 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 10} 2012-06-01
2490 6931 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-05-01
2491 7133 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-11-01
2492 7194 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2013-01-01
2493 6940 808 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 50} 2012-05-01
2494 6848 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-02-01
2495 7185 800 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 50} 2013-01-01
2496 6832 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-02-01
2497 6867 799 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 25} 2012-03-01
2498 7132 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-11-01
2499 6905 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-04-01
2500 7164 810 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 10} 2012-12-01
2501 7149 797 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 2} 2012-12-01
2502 6930 798 sklearn.tree.DecisionTreeClassifier {'max_depth': 2, 'random_state': 0, 'min_samples_split': 10} 2012-05-01
2503 7095 805 sklearn.tree.DecisionTreeClassifier {'max_depth': 10, 'random_state': 0, 'min_samples_split': 2} 2012-10-01
2504 6839 803 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 2012-02-01
2505 6912 812 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 50} 2012-04-01
2506 6965 802 sklearn.tree.DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 10} 2012-06-01
2507 7165 811 sklearn.tree.DecisionTreeClassifier {'max_depth': 50, 'random_state': 0, 'min_samples_split': 25} 2012-12-01
2508 7135 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-11-01
2509 7040 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-08-01
2510 7072 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-09-01
2511 6882 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-03-01
2512 7200 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2013-01-01
2513 6914 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-04-01
2514 7168 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-12-01
2515 7008 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-07-01
2516 6850 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-02-01
2517 6977 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-06-01
2518 7104 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-10-01
2519 6946 814 triage.component.catwalk.baselines.rankers.BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 2012-05-01
2520 7019 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2521 7053 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2522 6950 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2523 6828 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2524 6926 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2525 7176 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2526 7142 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2527 9498 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2528 7106 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2529 7011 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2530 7050 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2531 7108 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2532 7109 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2533 9499 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2534 7044 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01
2535 6831 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2536 7110 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2537 7144 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2538 6894 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2539 6915 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2540 7017 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2541 6863 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2542 7047 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2543 7145 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2544 7121 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2545 7170 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2546 7150 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2547 6978 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01
2548 7074 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2549 7177 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2550 6951 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2551 7084 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2552 6981 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01
2553 6822 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2554 6857 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2555 6883 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2556 7052 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2557 6892 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2558 7076 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2559 7178 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2560 6955 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2561 7077 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2562 6991 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2563 7018 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2564 6862 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2565 6833 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2566 7086 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2567 6825 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2568 6885 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2569 7141 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2570 7045 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2571 6858 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2572 7020 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2573 7009 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2574 6895 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2575 6918 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2576 6958 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2577 6830 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2578 7137 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2579 7013 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2580 7078 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2581 6860 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2582 6957 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2583 7140 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2584 6953 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2585 6888 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2586 7042 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2587 7182 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2588 6852 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2589 7081 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2590 6826 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2591 7014 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2592 7051 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2593 7112 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2594 6887 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2595 6983 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2596 6949 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2597 6924 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2598 7175 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2599 6947 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2600 7115 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2601 7114 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2602 7138 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2603 7048 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2604 7113 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2605 7049 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2606 6980 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2607 7012 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2608 7046 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2609 6886 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2610 6920 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2611 6853 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2612 7010 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2613 7079 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2614 7043 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2615 7201 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2616 7015 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2617 6922 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2618 6923 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2619 6985 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2620 7143 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2621 6827 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2622 6925 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2623 7041 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2624 7116 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2625 7111 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2626 6984 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01
2627 6962 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2628 6927 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2629 7147 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2630 7139 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2631 7187 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2632 7094 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-09-01
2633 7073 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2634 6829 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2635 6889 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2636 7172 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2637 7082 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2638 6856 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2639 6890 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-04-01
2640 6954 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2641 6859 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2642 7016 790 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2643 7146 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-12-01
2644 6893 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2645 7169 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2646 6956 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2647 7107 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-11-01
2648 7021 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-08-01
2649 6891 792 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2650 6989 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01
2651 6897 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2652 7080 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-10-01
2653 6928 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2654 7057 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-09-01
2655 6979 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2656 6986 791 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01
2657 6820 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2658 7152 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2659 7180 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2660 7173 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2661 7083 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2662 6952 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-06-01
2663 7136 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2664 6884 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-04-01
2665 6854 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2666 6866 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2667 7105 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-11-01
2668 6988 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2669 6823 785 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-02-01
2670 7148 795 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-12-01
2671 7075 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-10-01
2672 6821 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2673 6982 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-07-01
2674 6921 789 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.5, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-05-01
2675 6824 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-02-01
2676 7023 796 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 10, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-08-01
2677 7174 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2678 6948 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-06-01
2679 6861 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2680 7179 794 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2013-01-01
2681 6917 786 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.01, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2682 6916 784 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2683 6855 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-03-01
2684 7171 787 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2013-01-01
2685 6919 788 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l2', 'max_iter': 10000} 2012-05-01
2686 6851 783 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 0.001, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-03-01
2687 6987 793 triage.component.catwalk.estimators.classifiers.ScaledLogisticRegression {'C': 2, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 2012-07-01

7. Model Performance¶

7(a) Overall Cohort¶

In [14]:
plot_performance_all_models(db_engine, experiment_hashes, performance_metric, threshold)
No description has been provided for this image 
<Figure size 768x576 with 0 Axes>

7(b) Cohort subsets¶

In [15]:
plot_subset_performance(db_engine, experiment_hashes, threshold, performance_metric)
No description has been provided for this image
No description has been provided for this image
No description has been provided for this image

8. Model Performance vs Bias¶

In [16]:
plot_performance_against_bias(
    engine=db_engine,
    experiment_hashes=experiment_hashes,
    metric=performance_metric,
    parameter=threshold,
    bias_metric=bias_metric,
    groups=None # This attribute need to be updated for 
)

2024-09-05 16:30:51 - WARNING No model groups specified. Usign all model group ids

2024-09-05 16:30:51 -    INFO No groups are specified. Showing results for all attributes and their values
No description has been provided for this image
No description has been provided for this image

9. Precision-Recall Graphs¶

In [17]:
# plot_prk_curves(db_engine, experiment_hashes, step_size=0.01)

10. Initial Model Selection and Further analysis on best models¶

For the purposes of this report, by default, we pick the best performing model from each model type based on average performance to generate additional outputs about the developed models. We would not assume the existence of predictions at this stage. Therefore, we will not do analysis such as list comparisons, crosstabs, score distribution type stuff. we'll look at more higher level comparisons between the different model types

In [18]:
best_models = get_best_hp_config_for_each_model_type(db_engine, experiment_hashes, performance_metric, threshold)
best_models
Out[18]:
model_type hyperparameters mean_performance
model_group_id
787 ScaledLogisticRegression {'C': 0.1, 'solver': 'saga', 'penalty': 'l1', 'max_iter': 10000} 0.0177
717 RandomForestClassifier {'max_depth': 10, 'max_features': 'auto', 'n_estimators': 5000, 'min_samples_split': 50} 0.0175
803 DecisionTreeClassifier {'max_depth': 5, 'random_state': 0, 'min_samples_split': 25} 0.0154
814 BaselineRankMultiFeature {'rules': [{'feature': 'project_features_entity_id_all_total_asking_price_sum', 'low_value_high_score': False}]} 0.0154
In [19]:
try: 
    rep = PostmodelingReport(
        engine=db_engine,
        experiment_hashes=experiment_hashes,
        model_groups=best_models.index.tolist()
    )
except Exception as e:
    rep = None
    logging.error('No best models')

10.1 Feature Importance¶

In [20]:
if rep:
    rep.plot_feature_importance()
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In [21]:
if rep: 
    rep.plot_feature_group_importance(n_top_groups=20)
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10.2 Recall Curves¶

In [22]:
if rep:
    rep.plot_recall_curves_overlaid(n_splits=5)

2024-09-05 16:31:52 - WARNING No predictions were found in test_results.predictions for model_id 8664. Returning empty dataframe!

2024-09-05 16:31:52 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:52 - WARNING 
                            No predictions were found for model id 8664 (group: 717) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:52 - WARNING No predictions were found in test_results.predictions for model_id 7046. Returning empty dataframe!

2024-09-05 16:31:52 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:52 - WARNING 
                            No predictions were found for model id 7046 (group: 787) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:52 - WARNING No predictions were found in test_results.predictions for model_id 7061. Returning empty dataframe!

2024-09-05 16:31:52 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:52 - WARNING 
                            No predictions were found for model id 7061 (group: 803) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:52 - WARNING No predictions were found in test_results.predictions for model_id 7072. Returning empty dataframe!

2024-09-05 16:31:52 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:52 - WARNING 
                            No predictions were found for model id 7072 (group: 814) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:52 - WARNING No predictions were found in test_results.predictions for model_id 8856. Returning empty dataframe!

2024-09-05 16:31:52 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:52 - WARNING 
                            No predictions were found for model id 8856 (group: 717) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7076. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7076 (group: 787) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7092. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7092 (group: 803) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7104. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7104 (group: 814) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 9048. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 9048 (group: 717) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7108. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7108 (group: 787) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7124. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7124 (group: 803) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7135. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7135 (group: 814) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 9240. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 9240 (group: 717) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7139. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7139 (group: 787) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7157. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7157 (group: 803) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7168. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7168 (group: 814) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 9432. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 9432 (group: 717) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7171. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7171 (group: 787) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7189. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7189 (group: 803) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!

2024-09-05 16:31:53 - WARNING No predictions were found in test_results.predictions for model_id 7200. Returning empty dataframe!

2024-09-05 16:31:53 -  NOTICE No labels present, skipping predictions sorting .

2024-09-05 16:31:53 - WARNING 
                            No predictions were found for model id 7200 (group: 814) 
                            or a subset_hash was provided. Using the evaluations to generate the plot. Zoomed PR-K not supported!
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